"I was born a Bayesian" is a sentence that I very often use to describe my background in statistics. In fact I was exposed to Bayesian ideas and methods very early in my statistical education. As a consequence, when dealing with data, my instinct is to approach modeling from a Bayesian point of view. In environmental sciences a Bayesian approach has a strong advantage. It provides a natural hierarchical framework to describe the different components of uncertainty and variability. Moreover, it provides the tools to communicate scientific results using probabilities, enhancing the potential to use those results for effective policy making. My work in environmental sciences has focused on the use of space, time and space-time models to describe environmental variables such as ozone, temperature, rainfall and the like. Applications to climatology, like producing reliable historical records and describing the interplay between observational records and output from numerical models, are some of the areas that I have made and continue to do contributions to. In my work I worry about the relevance of the application, the methodological soundness and the numerical feasibilities of the models I build. I am honored to be nominated as chair of the environmental sciences section. I have been involved with ISBA since its creation. I served as a member of the editorial board of the bulletin, I was the treasurer of ISBA for a three year period and I am an editor of BA. Within the broader statistical commnity, I am an active member of the ASA, currently serving on the ASA Advisory Committee on Climate Change Policy. As a chair of the ESS I will work to foster the activities of environmetrics community. I will work to sponsor meetings, encourage publications of high profile Bayesian environmetrics papers and foster collaboration with other societies like TIES. I believe that the ESS provides a great opporunity to enhance the visibility and impact of Bayesian environmetrics.